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Qwen2.5-VL-7B-Instruct_arc-agi-transduction100k-direct-ft
mertaylin/Qwen2.5-VL-7B-Instruct_arc-agi-transduction100k-direct-ft
Qwen2.5-VL-7B-Instruct_arc-agi-transduction100k-direct-ft is a image-text-to-text model from mertaylin. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2_5_vl
- Access
- Public
- Created
- Mar 8, 2025
- Updated
- Mar 9, 2025
- SHA
- b09379aa
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Qwen2.5-VL-7B-Instruct_arc-agi-transduction100k-direct-ft
This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on the arc-agi-transduction100k-direct-ft dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0177 | 0.3549 | 1000 | 0.0153 |
| 0.0086 | 0.7098 | 2000 | 0.0066 |
| 0.0055 | 1.0646 | 3000 | 0.0048 |
| 0.0039 | 1.4195 | 4000 | 0.0026 |
| 0.0018 | 1.7744 | 5000 | 0.0019 |
| 0.0007 | 2.1292 | 6000 | 0.0008 |
| 0.0004 | 2.4841 | 7000 | 0.0004 |
| 0.0002 | 2.8390 | 8000 | 0.0003 |
Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.0.2
- Tokenizers 0.21.0
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen2_5_vl
- License
- apache-2.0
- Created
- Mar 8, 2025
- Updated
- Mar 9, 2025